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Environment Configuration Complete

Environment Configuration Complete

Manage environment variables securely across environments

environmentconfigurationsecuritytypescript
by antigravity-team
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.antigravity
# Environment Configuration Complete Guide for Google Antigravity

Manage environment variables securely across all environments with Google Antigravity IDE.

## Type-Safe Environment Variables

```typescript
// env.ts
import { z } from "zod";

const envSchema = z.object({
  DATABASE_URL: z.string().url(),
  REDIS_URL: z.string().url(),
  JWT_SECRET: z.string().min(32),
  STRIPE_SECRET_KEY: z.string().startsWith("sk_"),
  
  NEXT_PUBLIC_APP_URL: z.string().url(),
  NEXT_PUBLIC_SUPABASE_URL: z.string().url(),
  NEXT_PUBLIC_SUPABASE_ANON_KEY: z.string(),
  
  NODE_ENV: z.enum(["development", "test", "production"]).default("development"),
  LOG_LEVEL: z.enum(["debug", "info", "warn", "error"]).default("info"),
  PORT: z.coerce.number().default(3000)
});

const parsed = envSchema.safeParse(process.env);

if (!parsed.success) {
  console.error("Invalid environment variables:", parsed.error.flatten().fieldErrors);
  throw new Error("Invalid environment variables");
}

export const env = parsed.data;
```

## Configuration Module

```typescript
// lib/config.ts
import { env } from "./env";

export const config = {
  app: {
    name: "My App",
    url: env.NEXT_PUBLIC_APP_URL,
    env: env.NODE_ENV,
    isDev: env.NODE_ENV === "development",
    isProd: env.NODE_ENV === "production"
  },
  
  database: {
    url: env.DATABASE_URL,
    poolMin: env.NODE_ENV === "production" ? 5 : 1,
    poolMax: env.NODE_ENV === "production" ? 20 : 5
  },
  
  auth: {
    jwtSecret: env.JWT_SECRET,
    tokenExpiry: "7d"
  }
} as const;
```

## Best Practices

1. **Validate environment variables** at startup
2. **Use type-safe configuration** with Zod
3. **Never commit secrets** to version control
4. **Use different .env files** per environment
5. **Provide .env.example** for documentation
6. **Rotate secrets regularly** in production
7. **Use secrets manager** for sensitive values

Google Antigravity helps manage environment configuration securely across all environments.

When to Use This Prompt

This environment prompt is ideal for developers working on:

  • environment applications requiring modern best practices and optimal performance
  • Projects that need production-ready environment code with proper error handling
  • Teams looking to standardize their environment development workflow
  • Developers wanting to learn industry-standard environment patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their environment implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the environment code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this environment prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For environment projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

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